Polarization-Enhanced Underwater Detection Method for Multiple Material Targets Based on Deep-Learning
Author:
Affiliation:
1. Key Laboratory of Optical Field Manipulation of Zhejiang Province, Department of Physics, Zhejiang Sci-Tech University, Hangzhou, China
Funder
Zhejiang Provincial Key Research and Development
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/4563994/10287870/10292531.pdf?arnumber=10292531
Reference31 articles.
1. Three-dimensional polarimetric image restoration in low light with deep residual learning and integral imaging
2. Deep learning polarimetric three-dimensional integral imaging object recognition in adverse environmental conditions
3. End-to-end integrated pipeline for underwater optical signal detection using 1D integral imaging capture with a convolutional neural network
4. Signal detection in turbid water using temporally encoded polarimetric integral imaging
5. A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
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